code: def get_default_weight_init_func(self):
      return c_f.TorchInitWrapper(
          torch.nn.init.kaiming_normal_, mode="fan_out"
      )
  
file_path: pytorch-metric-learning/src/pytorch_metric_learning/losses/proxy_anchor_loss.py
imports: import torch
  from ..distances import CosineSimilarity
  from ..reducers import DivisorReducer
  from ..utils import common_functions
  from ..utils import loss_and_miner_utils
  from .base_metric_loss_function import BaseMetricLossFunction
  from .mixins import WeightRegularizerMixin
label_desc: Use image node_id 6 for calling the ProxyAnchorLoss obj's underlying member method code with example usage: obj.get_default_weight_init_func() and returns: c_f